I built a Chrome extension that extracts code from tutorial
videos using Claude's Vision API. Wrote up what I learned:
Key findings:
Vision models handle code extraction surprisingly well better than OCR for anything syntax-sensitive
Prompt engineering matters more than model choice.
"Extract the code" vs "identify all code blocks, preserve
indentation, differentiate from terminal output" huge
difference in qualityLatency: ~2-3 seconds for a 1080p frame. Acceptable for
this use case, too slow for real-timeEdge case: slides with code + screenshots of code ā
model correctly identifies both as "code" even with
different visual styling
Full writeup with prompt examples: [link to dev.to article]
The extension itself is free if anyone wants to try the
output quality: codera.click
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